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20202026
most citedWelfare Maximization Algorithm for Solving Budget-Constrained Multi-Component POMDPs

4 citations · 6 across the 12 of their papers we have counts for

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8 papers · 1 filter

cs.RO2026

Whole-Body Dexterity

Conor Mc Gartoll, An Dang, Pranay Thangeda +5

Current humanoid dexterous manipulation remains largely confined to end-effectors and simple grasps, falling short of humans' ability to engage the entire body by bracing and slidi…

cs.RO2026

Trajectory-Level Redirection Attacks on Vision-Language-Action Models

Gokul Puthumanaillam, Vardhan Dongre, Pranay Thangeda +3

Vision-language-action (VLA) policies bring natural language into closed-loop robot control, enabling robots to execute manipulation tasks directly from text instructions. The same…

cs.RO2025

TRACE: A Self-Improving Framework for Robot Behavior Forecasting with Vision-Language Models

Gokul Puthumanaillam, Paulo Padrao, Jose Fuentes +6

Predicting the near-term behavior of a reactive agent is crucial in many robotic scenarios, yet remains challenging when observations of that agent are sparse or intermittent. Visi…

cs.RO2024

Autonomous Excavation of Challenging Terrain using Oscillatory Primitives and Adaptive Impedance Control

Noah Franceschini, Pranay Thangeda, Melkior Ornik +1

This paper addresses the challenge of autonomous excavation of challenging terrains, in particular those that are prone to jamming and inter-particle adhesion when tackled by a sta…

cs.RO2024

Learning to Turn: Diffusion Imitation for Robust Row Turning in Under-Canopy Robots

Arun N. Sivakumar, Pranay Thangeda, Yixiao Fang +4

Under-canopy agricultural robots require robust navigation capabilities to enable full autonomy but struggle with tight row turning between crop rows due to degraded GPS reception,…

cs.RO2024

Few-shot Scooping Under Domain Shift via Simulated Maximal Deployment Gaps

Yifan Zhu, Pranay Thangeda, Erica L Tevere +5

Autonomous lander missions on extraterrestrial bodies need to sample granular materials while coping with domain shifts, even when sampling strategies are extensively tuned on Eart…

cs.RO2023

Learning and Autonomy for Extraterrestrial Terrain Sampling: An Experience Report from OWLAT Deployment

Pranay Thangeda, Ashish Goel, Erica Tevere +6

Extraterrestrial autonomous lander missions increasingly demand adaptive capabilities to handle the unpredictable and diverse nature of the terrain. This paper discusses the deploy…

cs.RO2023

Few-shot Adaptation for Manipulating Granular Materials Under Domain Shift

Yifan Zhu, Pranay Thangeda, Melkior Ornik +1

Autonomous lander missions on extraterrestrial bodies will need to sample granular material while coping with domain shift, no matter how well a sampling strategy is tuned on Earth…